Profiling (Cleaned)

Dataset statistics

Number of variables	32
Number of observations	761
Missing cells	173
Missing cells (%)	0.7%
Duplicate rows	19
Duplicate rows (%)	2.5%
Total size in memory	327.7 KiB
Average record size in memory	441.0 B

Variable types

Numeric	8
Categorical	24

Alerts

Dataset has 19 (2.5%) duplicate rows	Duplicates
`Age` is highly overall correlated with `Num of pregnancies`	High correlation
`Biopsy` is highly overall correlated with `Hinselmann` and 1 other fields	High correlation
`Dx` is highly overall correlated with `Dx:Cancer` and 1 other fields	High correlation
`Dx:Cancer` is highly overall correlated with `Dx` and 1 other fields	High correlation
`Dx:HPV` is highly overall correlated with `Dx` and 1 other fields	High correlation
`Hinselmann` is highly overall correlated with `Biopsy` and 1 other fields	High correlation
`Hormonal Contraceptives` is highly overall correlated with `Hormonal Contraceptives (years)`	High correlation
`Hormonal Contraceptives (years)` is highly overall correlated with `Hormonal Contraceptives`	High correlation
`IUD` is highly overall correlated with `IUD (years)`	High correlation
`IUD (years)` is highly overall correlated with `IUD`	High correlation
`Num of pregnancies` is highly overall correlated with `Age`	High correlation
`STDs` is highly overall correlated with `STDs (number)` and 3 other fields	High correlation
`STDs (number)` is highly overall correlated with `STDs` and 6 other fields	High correlation
`STDs: Number of diagnosis` is highly overall correlated with `STDs` and 4 other fields	High correlation
`STDs:HIV` is highly overall correlated with `STDs (number)` and 1 other fields	High correlation
`STDs:condylomatosis` is highly overall correlated with `STDs` and 3 other fields	High correlation
`STDs:syphilis` is highly overall correlated with `STDs (number)`	High correlation
`STDs:vaginal condylomatosis` is highly overall correlated with `STDs (number)`	High correlation
`STDs:vulvo-perineal condylomatosis` is highly overall correlated with `STDs` and 3 other fields	High correlation
`Schiller` is highly overall correlated with `Biopsy` and 1 other fields	High correlation
`Smokes` is highly overall correlated with `Smokes (packs/year)` and 1 other fields	High correlation
`Smokes (packs/year)` is highly overall correlated with `Smokes` and 1 other fields	High correlation
`Smokes (years)` is highly overall correlated with `Smokes` and 1 other fields	High correlation
`IUD` is highly imbalanced (53.6%)	Imbalance
`STDs` is highly imbalanced (55.3%)	Imbalance
`STDs (number)` is highly imbalanced (75.0%)	Imbalance
`STDs:condylomatosis` is highly imbalanced (70.8%)	Imbalance
`STDs:vaginal condylomatosis` is highly imbalanced (95.3%)	Imbalance
`STDs:vulvo-perineal condylomatosis` is highly imbalanced (71.4%)	Imbalance
`STDs:syphilis` is highly imbalanced (84.6%)	Imbalance
`STDs:pelvic inflammatory disease` is highly imbalanced (98.6%)	Imbalance
`STDs:genital herpes` is highly imbalanced (98.6%)	Imbalance
`STDs:molluscum contagiosum` is highly imbalanced (98.6%)	Imbalance
`STDs:HIV` is highly imbalanced (86.0%)	Imbalance
`STDs:Hepatitis B` is highly imbalanced (98.6%)	Imbalance
`STDs:HPV` is highly imbalanced (97.4%)	Imbalance
`STDs: Number of diagnosis` is highly imbalanced (78.2%)	Imbalance
`Dx:Cancer` is highly imbalanced (84.6%)	Imbalance
`Dx:CIN` is highly imbalanced (95.3%)	Imbalance
`Dx:HPV` is highly imbalanced (84.6%)	Imbalance
`Dx` is highly imbalanced (83.9%)	Imbalance
`Hinselmann` is highly imbalanced (76.0%)	Imbalance
`Schiller` is highly imbalanced (58.4%)	Imbalance
`Citology` is highly imbalanced (69.2%)	Imbalance
`Biopsy` is highly imbalanced (67.1%)	Imbalance
`Hormonal Contraceptives (years)` has 85 (11.2%) missing values	Missing
`IUD (years)` has 88 (11.6%) missing values	Missing
`Num of pregnancies` has 14 (1.8%) zeros	Zeros
`Smokes (years)` has 650 (85.4%) zeros	Zeros
`Smokes (packs/year)` has 650 (85.4%) zeros	Zeros
`Hormonal Contraceptives (years)` has 240 (31.5%) zeros	Zeros
`IUD (years)` has 598 (78.6%) zeros	Zeros

Reproduction

Analysis started	2024-07-26 14:16:07.265827
Analysis finished	2024-07-26 14:16:12.275987
Duration	5.01 seconds
Software version	ydata-profiling vv4.7.0
Download configuration	config.json

Age
Real number (ℝ)

HIGH CORRELATION

Distinct	43
Distinct (%)	5.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	26.863338

Minimum	13
Maximum	84
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.9 KiB

Quantile statistics

Minimum	13
5-th percentile	16
Q1	20
median	25
Q3	32
95-th percentile	41
Maximum	84
Range	71
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	8.5006027
Coefficient of variation (CV)	0.31643881
Kurtosis	5.2562488
Mean	26.863338
Median Absolute Deviation (MAD)	5
Skewness	1.4624457
Sum	20443
Variance	72.260246
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
23	52	6.8%
18	42	5.5%
20	41	5.4%
21	41	5.4%
19	40	5.3%
24	36	4.7%
28	34	4.5%
25	33	4.3%
26	32	4.2%
30	32	4.2%
Other values (33)	378	49.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
13	1	0.1%
14	2	0.3%
15	20	2.6%
16	19	2.5%
17	30	3.9%
18	42	5.5%
19	40	5.3%
20	41	5.4%
21	41	5.4%
22	27	3.5%

Value	Count	Frequency (%)
84	1	0.1%
79	1	0.1%
70	2	0.3%
52	2	0.3%
51	1	0.1%
50	1	0.1%
49	2	0.3%
48	2	0.3%
47	1	0.1%
46	3	0.4%

Number of sexual partners
Real number (ℝ)

Distinct	10
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.5282523

Minimum	1
Maximum	28
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.9 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	2
Q3	3
95-th percentile	5
Maximum	28
Range	27
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.6277376
Coefficient of variation (CV)	0.64381929
Kurtosis	79.092546
Mean	2.5282523
Median Absolute Deviation (MAD)	1
Skewness	5.7345672
Sum	1924
Variance	2.6495297
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
2	247	32.5%
3	195	25.6%
1	185	24.3%
4	73	9.6%
5	39	5.1%
6	9	1.2%
7	7	0.9%
8	4	0.5%
10	1	0.1%
28	1	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	185	24.3%
2	247	32.5%
3	195	25.6%
4	73	9.6%
5	39	5.1%
6	9	1.2%
7	7	0.9%
8	4	0.5%
10	1	0.1%
28	1	0.1%

Value	Count	Frequency (%)
28	1	0.1%
10	1	0.1%
8	4	0.5%
7	7	0.9%
6	9	1.2%
5	39	5.1%
4	73	9.6%
3	195	25.6%
2	247	32.5%
1	185	24.3%

First sexual intercourse
Real number (ℝ)

Distinct	21
Distinct (%)	2.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	17.038108

Minimum	10
Maximum	32
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.9 KiB

Quantile statistics

Minimum	10
5-th percentile	14
Q1	15
median	17
Q3	18
95-th percentile	22
Maximum	32
Range	22
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.8330509
Coefficient of variation (CV)	0.16627732
Kurtosis	4.3464585
Mean	17.038108
Median Absolute Deviation (MAD)	2
Skewness	1.6157906
Sum	12966
Variance	8.0261775
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
15	153	20.1%
17	133	17.5%
18	122	16.0%
16	103	13.5%
14	72	9.5%
19	56	7.4%
20	34	4.5%
13	19	2.5%
21	18	2.4%
23	8	1.1%
Other values (11)	43	5.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10	2	0.3%
11	1	0.1%
12	4	0.5%
13	19	2.5%
14	72	9.5%
15	153	20.1%
16	103	13.5%
17	133	17.5%
18	122	16.0%
19	56	7.4%

Value	Count	Frequency (%)
32	1	0.1%
29	5	0.7%
28	3	0.4%
27	5	0.7%
26	7	0.9%
25	2	0.3%
24	6	0.8%
23	8	1.1%
22	7	0.9%
21	18	2.4%

Num of pregnancies
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	11
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.2838371

Minimum	0
Maximum	11
Zeros	14
Zeros (%)	1.8%
Negative	0
Negative (%)	0.0%
Memory size	11.9 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	2
Q3	3
95-th percentile	5
Maximum	11
Range	11
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.4566956
Coefficient of variation (CV)	0.63782817
Kurtosis	3.270227
Mean	2.2838371
Median Absolute Deviation (MAD)	1
Skewness	1.4423115
Sum	1738
Variance	2.1219621
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
1	258	33.9%
2	225	29.6%
3	133	17.5%
4	71	9.3%
5	32	4.2%
6	18	2.4%
0	14	1.8%
7	6	0.8%
8	2	0.3%
11	1	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	14	1.8%
1	258	33.9%
2	225	29.6%
3	133	17.5%
4	71	9.3%
5	32	4.2%
6	18	2.4%
7	6	0.8%
8	2	0.3%
10	1	0.1%

Value	Count	Frequency (%)
11	1	0.1%
10	1	0.1%
8	2	0.3%
7	6	0.8%
6	18	2.4%
5	32	4.2%
4	71	9.3%
3	133	17.5%
2	225	29.6%
1	258	33.9%

Smokes
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	44.6 KiB

0.0	650
1.0	111

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	2283
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	1.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	650	85.4%
1.0	111	14.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	650	85.4%
1.0	111	14.6%

Most occurring characters

Value	Count	Frequency (%)
0	1411	61.8%
.	761	33.3%
1	111	4.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	1411	61.8%
.	761	33.3%
1	111	4.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	1411	61.8%
.	761	33.3%
1	111	4.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	1411	61.8%
.	761	33.3%
1	111	4.9%

Smokes (years)
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	30
Distinct (%)	3.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.2232111

Minimum	0
Maximum	37
Zeros	650
Zeros (%)	85.4%
Negative	0
Negative (%)	0.0%
Memory size	11.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	9
Maximum	37
Range	37
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	4.1057398
Coefficient of variation (CV)	3.3565258
Kurtosis	24.658441
Mean	1.2232111
Median Absolute Deviation (MAD)	0
Skewness	4.5306848
Sum	930.86367
Variance	16.857099
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
0	650	85.4%
1.266972909	12	1.6%
5	8	1.1%
9	8	1.1%
1	7	0.9%
3	7	0.9%
2	7	0.9%
7	6	0.8%
16	6	0.8%
8	6	0.8%
Other values (20)	44	5.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	650	85.4%
0.16	1	0.1%
0.5	3	0.4%
1	7	0.9%
1.266972909	12	1.6%
2	7	0.9%
3	7	0.9%
4	4	0.5%
5	8	1.1%
6	4	0.5%

Value	Count	Frequency (%)
37	1	0.1%
34	1	0.1%
32	1	0.1%
28	1	0.1%
24	1	0.1%
22	1	0.1%
21	1	0.1%
20	1	0.1%
19	2	0.3%
18	1	0.1%

Smokes (packs/year)
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	56
Distinct (%)	7.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.44915038

Minimum	0
Maximum	37
Zeros	650
Zeros (%)	85.4%
Negative	0
Negative (%)	0.0%
Memory size	11.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	2.4
Maximum	37
Range	37
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	2.2542472
Coefficient of variation (CV)	5.0189141
Kurtosis	119.25579
Mean	0.44915038
Median Absolute Deviation (MAD)	0
Skewness	9.554199
Sum	341.80344
Variance	5.0816303
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	650	85.4%
0.5132021277	17	2.2%
3	5	0.7%
2	4	0.5%
0.75	4	0.5%
1.2	4	0.5%
0.2	4	0.5%
0.05	4	0.5%
1	4	0.5%
0.1	3	0.4%
Other values (46)	62	8.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	650	85.4%
0.001	1	0.1%
0.003	1	0.1%
0.025	1	0.1%
0.04	1	0.1%
0.05	4	0.5%
0.1	3	0.4%
0.15	1	0.1%
0.16	2	0.3%
0.2	4	0.5%

Value	Count	Frequency (%)
37	1	0.1%
22	1	0.1%
21	1	0.1%
19	1	0.1%
12	3	0.4%
9	2	0.3%
8	2	0.3%
7.5	1	0.1%
7	2	0.3%
6	3	0.4%

Hormonal Contraceptives
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	44.6 KiB

1.0	436
0.0	325

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	2283
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	1.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
1.0	436	57.3%
0.0	325	42.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	436	57.3%
0.0	325	42.7%

Most occurring characters

Value	Count	Frequency (%)
0	1086	47.6%
.	761	33.3%
1	436	19.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	1086	47.6%
.	761	33.3%
1	436	19.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	1086	47.6%
.	761	33.3%
1	436	19.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	1086	47.6%
.	761	33.3%
1	436	19.1%

Hormonal Contraceptives (years)
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	39
Distinct (%)	5.8%
Missing	85
Missing (%)	11.2%
Infinite	0
Infinite (%)	0.0%
Mean	2.3317225

Minimum	0
Maximum	30
Zeros	240
Zeros (%)	31.5%
Negative	0
Negative (%)	0.0%
Memory size	11.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0.5
Q3	3
95-th percentile	10
Maximum	30
Range	30
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	3.8613217
Coefficient of variation (CV)	1.6559954
Kurtosis	8.7035047
Mean	2.3317225
Median Absolute Deviation (MAD)	0.5
Skewness	2.5878372
Sum	1576.2444
Variance	14.909805
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=39)

Value	Count	Frequency (%)
0	240	31.5%
1	73	9.6%
2	36	4.7%
0.25	34	4.5%
5	32	4.2%
3	31	4.1%
0.5	23	3.0%
0.08	23	3.0%
6	22	2.9%
4	22	2.9%
Other values (29)	140	18.4%
(Missing)	85	11.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	240	31.5%
0.08	23	3.0%
0.16	16	2.1%
0.17	1	0.1%
0.25	34	4.5%
0.33	8	1.1%
0.41	1	0.1%
0.42	6	0.8%
0.5	23	3.0%
0.58	5	0.7%

Value	Count	Frequency (%)
30	1	0.1%
22	1	0.1%
20	4	0.5%
19	2	0.3%
17	1	0.1%
16	2	0.3%
15	6	0.8%
14	1	0.1%
13	2	0.3%
12	4	0.5%

IUD
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	44.6 KiB

0.0	686
1.0	75

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	2283
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	686	90.1%
1.0	75	9.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	686	90.1%
1.0	75	9.9%

Most occurring characters

Value	Count	Frequency (%)
0	1447	63.4%
.	761	33.3%
1	75	3.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	1447	63.4%
.	761	33.3%
1	75	3.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	1447	63.4%
.	761	33.3%
1	75	3.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	1447	63.4%
.	761	33.3%
1	75	3.3%

IUD (years)
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	25
Distinct (%)	3.7%
Missing	88
Missing (%)	11.6%
Infinite	0
Infinite (%)	0.0%
Mean	0.52609212

Minimum	0
Maximum	19
Zeros	598
Zeros (%)	78.6%
Negative	0
Negative (%)	0.0%
Memory size	11.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	4
Maximum	19
Range	19
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.9943689
Coefficient of variation (CV)	3.790912
Kurtosis	29.398766
Mean	0.52609212
Median Absolute Deviation (MAD)	0
Skewness	4.9824462
Sum	354.06
Variance	3.9775075
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=25)

Value	Count	Frequency (%)
0	598	78.6%
3	11	1.4%
2	8	1.1%
5	7	0.9%
7	7	0.9%
1	7	0.9%
8	7	0.9%
4	5	0.7%
6	3	0.4%
11	3	0.4%
Other values (15)	17	2.2%
(Missing)	88	11.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	598	78.6%
0.08	2	0.3%
0.16	1	0.1%
0.17	1	0.1%
0.25	1	0.1%
0.33	1	0.1%
0.5	2	0.3%
0.58	1	0.1%
0.91	1	0.1%
1	7	0.9%

Value	Count	Frequency (%)
19	1	0.1%
17	1	0.1%
15	1	0.1%
12	1	0.1%
11	3	0.4%
10	1	0.1%
9	1	0.1%
8	7	0.9%
7	7	0.9%
6	3	0.4%

STDs
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	44.6 KiB

0.0	690
1.0	71

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	2283
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	690	90.7%
1.0	71	9.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	690	90.7%
1.0	71	9.3%

Most occurring characters

Value	Count	Frequency (%)
0	1451	63.6%
.	761	33.3%
1	71	3.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	1451	63.6%
.	761	33.3%
1	71	3.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	1451	63.6%
.	761	33.3%
1	71	3.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	1451	63.6%
.	761	33.3%
1	71	3.1%

STDs (number)
Categorical

HIGH CORRELATION IMBALANCE

Distinct	5
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	44.6 KiB

0.0	690
2.0	33
1.0	31
3.0	6
4.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	2283
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	690	90.7%
2.0	33	4.3%
1.0	31	4.1%
3.0	6	0.8%
4.0	1	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	690	90.7%
2.0	33	4.3%
1.0	31	4.1%
3.0	6	0.8%
4.0	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	1451	63.6%
.	761	33.3%
2	33	1.4%
1	31	1.4%
3	6	0.3%
4	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	1451	63.6%
.	761	33.3%
2	33	1.4%
1	31	1.4%
3	6	0.3%
4	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	1451	63.6%
.	761	33.3%
2	33	1.4%
1	31	1.4%
3	6	0.3%
4	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	1451	63.6%
.	761	33.3%
2	33	1.4%
1	31	1.4%
3	6	0.3%
4	1	< 0.1%

STDs:condylomatosis
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	44.6 KiB

0.0	722
1.0	39

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	2283
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	722	94.9%
1.0	39	5.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	722	94.9%
1.0	39	5.1%

Most occurring characters

Value	Count	Frequency (%)
0	1483	65.0%
.	761	33.3%
1	39	1.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	1483	65.0%
.	761	33.3%
1	39	1.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	1483	65.0%
.	761	33.3%
1	39	1.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	1483	65.0%
.	761	33.3%
1	39	1.7%

STDs:vaginal condylomatosis
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	44.6 KiB

0.0	757
1.0	4

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	2283
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	757	99.5%
1.0	4	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	757	99.5%
1.0	4	0.5%

Most occurring characters

Value	Count	Frequency (%)
0	1518	66.5%
.	761	33.3%
1	4	0.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	1518	66.5%
.	761	33.3%
1	4	0.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	1518	66.5%
.	761	33.3%
1	4	0.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	1518	66.5%
.	761	33.3%
1	4	0.2%

STDs:vulvo-perineal condylomatosis
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	44.6 KiB

0.0	723
1.0	38

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	2283
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	723	95.0%
1.0	38	5.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	723	95.0%
1.0	38	5.0%

Most occurring characters

Value	Count	Frequency (%)
0	1484	65.0%
.	761	33.3%
1	38	1.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	1484	65.0%
.	761	33.3%
1	38	1.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	1484	65.0%
.	761	33.3%
1	38	1.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	1484	65.0%
.	761	33.3%
1	38	1.7%

STDs:syphilis
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	44.6 KiB

0.0	744
1.0	17

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	2283
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	744	97.8%
1.0	17	2.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	744	97.8%
1.0	17	2.2%

Most occurring characters

Value	Count	Frequency (%)
0	1505	65.9%
.	761	33.3%
1	17	0.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	1505	65.9%
.	761	33.3%
1	17	0.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	1505	65.9%
.	761	33.3%
1	17	0.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	1505	65.9%
.	761	33.3%
1	17	0.7%

STDs:pelvic inflammatory disease
Categorical

IMBALANCE

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	44.6 KiB

0.0	760
1.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	2283
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	760	99.9%
1.0	1	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	760	99.9%
1.0	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	1521	66.6%
.	761	33.3%
1	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	1521	66.6%
.	761	33.3%
1	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	1521	66.6%
.	761	33.3%
1	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	1521	66.6%
.	761	33.3%
1	1	< 0.1%

STDs:genital herpes
Categorical

IMBALANCE

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	44.6 KiB

0.0	760
1.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	2283
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	760	99.9%
1.0	1	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	760	99.9%
1.0	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	1521	66.6%
.	761	33.3%
1	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	1521	66.6%
.	761	33.3%
1	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	1521	66.6%
.	761	33.3%
1	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	1521	66.6%
.	761	33.3%
1	1	< 0.1%

STDs:molluscum contagiosum
Categorical

IMBALANCE

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	44.6 KiB

0.0	760
1.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	2283
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	760	99.9%
1.0	1	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	760	99.9%
1.0	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	1521	66.6%
.	761	33.3%
1	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	1521	66.6%
.	761	33.3%
1	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	1521	66.6%
.	761	33.3%
1	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	1521	66.6%
.	761	33.3%
1	1	< 0.1%

STDs:HIV
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	44.6 KiB

0.0	746
1.0	15

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	2283
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	746	98.0%
1.0	15	2.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	746	98.0%
1.0	15	2.0%

Most occurring characters

Value	Count	Frequency (%)
0	1507	66.0%
.	761	33.3%
1	15	0.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	1507	66.0%
.	761	33.3%
1	15	0.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	1507	66.0%
.	761	33.3%
1	15	0.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	1507	66.0%
.	761	33.3%
1	15	0.7%

STDs:Hepatitis B
Categorical

IMBALANCE

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	44.6 KiB

0.0	760
1.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	2283
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	760	99.9%
1.0	1	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	760	99.9%
1.0	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	1521	66.6%
.	761	33.3%
1	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	1521	66.6%
.	761	33.3%
1	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	1521	66.6%
.	761	33.3%
1	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	1521	66.6%
.	761	33.3%
1	1	< 0.1%

STDs:HPV
Categorical

IMBALANCE

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	44.6 KiB

0.0	759
1.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	2283
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	759	99.7%
1.0	2	0.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	759	99.7%
1.0	2	0.3%

Most occurring characters

Value	Count	Frequency (%)
0	1520	66.6%
.	761	33.3%
1	2	0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	1520	66.6%
.	761	33.3%
1	2	0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	1520	66.6%
.	761	33.3%
1	2	0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	1520	66.6%
.	761	33.3%
1	2	0.1%

STDs: Number of diagnosis
Categorical

HIGH CORRELATION IMBALANCE

Distinct	4
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	44.6 KiB

0.0	697
1.0	62
3.0	1
2.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	2283
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.3%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	697	91.6%
1.0	62	8.1%
3.0	1	0.1%
2.0	1	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	697	91.6%
1.0	62	8.1%
3.0	1	0.1%
2.0	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	1458	63.9%
.	761	33.3%
1	62	2.7%
3	1	< 0.1%
2	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	1458	63.9%
.	761	33.3%
1	62	2.7%
3	1	< 0.1%
2	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	1458	63.9%
.	761	33.3%
1	62	2.7%
3	1	< 0.1%
2	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2283	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	1458	63.9%
.	761	33.3%
1	62	2.7%
3	1	< 0.1%
2	1	< 0.1%

Dx:Cancer
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	43.1 KiB

0	744
1	17

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	761
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	744	97.8%
1	17	2.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	744	97.8%
1	17	2.2%

Most occurring characters

Value	Count	Frequency (%)
0	744	97.8%
1	17	2.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	761	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	744	97.8%
1	17	2.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	761	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	744	97.8%
1	17	2.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	761	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	744	97.8%
1	17	2.2%

Dx:CIN
Categorical

IMBALANCE

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	43.1 KiB

0	757
1	4

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	761
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	757	99.5%
1	4	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	757	99.5%
1	4	0.5%

Most occurring characters

Value	Count	Frequency (%)
0	757	99.5%
1	4	0.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	761	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	757	99.5%
1	4	0.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	761	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	757	99.5%
1	4	0.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	761	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	757	99.5%
1	4	0.5%

Dx:HPV
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	43.1 KiB

0	744
1	17

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	761
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	744	97.8%
1	17	2.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	744	97.8%
1	17	2.2%

Most occurring characters

Value	Count	Frequency (%)
0	744	97.8%
1	17	2.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	761	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	744	97.8%
1	17	2.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	761	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	744	97.8%
1	17	2.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	761	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	744	97.8%
1	17	2.2%

Dx
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	43.1 KiB

0	743
1	18

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	761
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	743	97.6%
1	18	2.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	743	97.6%
1	18	2.4%

Most occurring characters

Value	Count	Frequency (%)
0	743	97.6%
1	18	2.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	761	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	743	97.6%
1	18	2.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	761	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	743	97.6%
1	18	2.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	761	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	743	97.6%
1	18	2.4%

Hinselmann
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	43.1 KiB

0	731
1	30

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	761
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	731	96.1%
1	30	3.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	731	96.1%
1	30	3.9%

Most occurring characters

Value	Count	Frequency (%)
0	731	96.1%
1	30	3.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	761	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	731	96.1%
1	30	3.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	761	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	731	96.1%
1	30	3.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	761	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	731	96.1%
1	30	3.9%

Schiller
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	43.1 KiB

0	697
1	64

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	761
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	697	91.6%
1	64	8.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	697	91.6%
1	64	8.4%

Most occurring characters

Value	Count	Frequency (%)
0	697	91.6%
1	64	8.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	761	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	697	91.6%
1	64	8.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	761	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	697	91.6%
1	64	8.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	761	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	697	91.6%
1	64	8.4%

Citology
Categorical

IMBALANCE

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	43.1 KiB

0	719
1	42

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	761
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	719	94.5%
1	42	5.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	719	94.5%
1	42	5.5%

Most occurring characters

Value	Count	Frequency (%)
0	719	94.5%
1	42	5.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	761	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	719	94.5%
1	42	5.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	761	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	719	94.5%
1	42	5.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	761	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	719	94.5%
1	42	5.5%

Biopsy
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	43.1 KiB

0	715
1	46

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	761
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	715	94.0%
1	46	6.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	715	94.0%
1	46	6.0%

Most occurring characters

Value	Count	Frequency (%)
0	715	94.0%
1	46	6.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	761	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	715	94.0%
1	46	6.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	761	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	715	94.0%
1	46	6.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	761	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	715	94.0%
1	46	6.0%

Auto

Heatmap
Table

	Age	Biopsy	Citology	Dx	Dx:CIN	Dx:Cancer	Dx:HPV	First sexual intercourse	Hinselmann	Hormonal Contraceptives	Hormonal Contraceptives (years)	IUD	IUD (years)	Num of pregnancies	Number of sexual partners	STDs	STDs (number)	STDs: Number of diagnosis	STDs:HIV	STDs:HPV	STDs:Hepatitis B	STDs:condylomatosis	STDs:genital herpes	STDs:molluscum contagiosum	STDs:pelvic inflammatory disease	STDs:syphilis	STDs:vaginal condylomatosis	STDs:vulvo-perineal condylomatosis	Schiller	Smokes	Smokes (packs/year)	Smokes (years)
Age	1.000	0.068	0.000	0.000	0.038	0.079	0.068	0.443	0.000	0.215	0.276	0.262	0.280	0.538	0.199	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.053	0.000	0.000	0.097	0.041	0.044	0.054
Biopsy	0.068	1.000	0.311	0.118	0.000	0.163	0.163	0.060	0.500	0.029	0.023	0.064	0.072	0.065	0.014	0.092	0.098	0.086	0.052	0.000	0.000	0.097	0.056	0.000	0.000	0.000	0.000	0.100	0.727	0.000	0.022	0.021
Citology	0.000	0.311	1.000	0.088	0.000	0.093	0.093	-0.004	0.139	0.000	-0.009	0.000	0.014	-0.037	0.026	0.036	0.027	0.043	0.059	0.000	0.000	0.049	0.000	0.000	0.000	0.000	0.000	0.052	0.350	0.000	-0.020	-0.020
Dx	0.000	0.118	0.088	1.000	0.406	0.707	0.649	0.069	0.071	0.000	-0.008	0.070	0.103	0.032	0.044	0.000	0.000	0.000	0.000	0.067	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.050	0.037	-0.064	-0.064
Dx:CIN	0.038	0.000	0.000	0.406	1.000	0.000	0.000	-0.048	0.000	0.000	0.022	0.000	-0.024	0.017	0.048	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	-0.030	-0.030
Dx:Cancer	0.079	0.163	0.093	0.707	0.000	1.000	0.849	0.101	0.124	0.000	0.035	0.076	0.096	0.048	0.030	0.000	0.000	0.000	0.000	0.250	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.125	0.000	-0.011	-0.007
Dx:HPV	0.068	0.163	0.093	0.649	0.000	0.849	1.000	0.066	0.124	0.000	0.053	0.000	0.037	0.066	0.028	0.000	0.000	0.000	0.000	0.250	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.125	0.000	0.012	0.016
First sexual intercourse	0.443	0.060	-0.004	0.069	-0.048	0.101	0.066	1.000	0.000	0.087	0.071	0.000	-0.033	-0.016	-0.137	0.044	0.084	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.176	0.308	0.000	0.000	0.073	-0.130	-0.127
Hinselmann	0.000	0.500	0.139	0.071	0.000	0.124	0.124	0.000	1.000	0.046	0.020	0.045	0.058	0.048	-0.056	0.016	0.175	0.169	0.025	0.000	0.000	0.048	0.000	0.000	0.000	0.000	0.000	0.050	0.631	0.000	0.009	0.011
Hormonal Contraceptives	0.215	0.029	0.000	0.000	0.000	0.000	0.000	0.087	0.046	1.000	0.849	0.077	0.038	0.223	0.038	0.000	0.000	0.000	0.017	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.029	0.000	-0.005	-0.005
Hormonal Contraceptives (years)	0.276	0.023	-0.009	-0.008	0.022	0.035	0.053	0.071	0.020	0.849	1.000	0.159	0.051	0.279	0.064	0.000	0.000	0.000	0.000	0.106	0.000	0.000	0.000	0.000	0.000	0.045	0.000	0.000	0.150	0.066	0.050	0.050
IUD	0.262	0.064	0.000	0.070	0.000	0.076	0.000	0.000	0.045	0.077	0.159	1.000	0.998	0.242	0.080	0.011	0.081	0.000	0.000	0.000	0.000	0.064	0.000	0.000	0.000	0.000	0.000	0.042	0.091	0.023	-0.043	-0.041
IUD (years)	0.280	0.072	0.014	0.103	-0.024	0.096	0.037	-0.033	0.058	0.038	0.051	0.998	1.000	0.245	0.082	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.183	0.000	-0.043	-0.040
Num of pregnancies	0.538	0.065	-0.037	0.032	0.017	0.048	0.066	-0.016	0.048	0.223	0.279	0.242	0.245	1.000	0.169	0.060	0.018	0.000	0.000	0.000	0.000	0.056	0.000	0.000	0.239	0.212	0.000	0.042	0.143	0.109	0.057	0.059
Number of sexual partners	0.199	0.014	0.026	0.044	0.048	0.030	0.028	-0.137	-0.056	0.038	0.064	0.080	0.082	0.169	1.000	0.000	0.038	0.000	0.058	0.000	0.000	0.053	0.000	0.024	0.024	0.000	0.000	0.058	0.000	0.267	0.240	0.236
STDs	0.000	0.092	0.036	0.000	0.000	0.000	0.000	0.044	0.016	0.000	0.000	0.011	0.000	0.060	0.000	1.000	0.998	0.943	0.425	0.110	0.035	0.714	0.035	0.035	0.035	0.455	0.192	0.704	0.082	0.098	0.113	0.112
STDs (number)	0.000	0.098	0.027	0.000	0.000	0.000	0.000	0.084	0.175	0.000	0.000	0.081	0.000	0.018	0.038	0.998	1.000	0.824	0.597	0.238	0.154	0.985	0.160	0.160	0.160	0.692	0.612	0.972	0.141	0.111	0.113	0.112
STDs: Number of diagnosis	0.000	0.086	0.043	0.000	0.000	0.000	0.000	0.000	0.169	0.000	0.000	0.000	0.000	0.000	0.000	0.943	0.824	1.000	0.546	0.047	0.104	0.708	0.104	0.104	0.104	0.445	0.236	0.697	0.133	0.090	0.107	0.105
STDs:HIV	0.000	0.052	0.059	0.000	0.000	0.000	0.000	0.000	0.025	0.017	0.000	0.000	0.000	0.000	0.058	0.425	0.597	0.546	1.000	0.000	0.120	0.065	0.000	0.000	0.000	0.000	0.000	0.067	0.067	0.000	0.057	0.054
STDs:HPV	0.000	0.000	0.000	0.067	0.000	0.250	0.250	0.000	0.000	0.000	0.106	0.000	0.000	0.000	0.000	0.110	0.238	0.047	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.043	0.056
STDs:Hepatitis B	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.035	0.154	0.104	0.120	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.003	0.099	0.095
STDs:condylomatosis	0.000	0.097	0.049	0.000	0.000	0.000	0.000	0.000	0.048	0.000	0.000	0.064	0.000	0.056	0.053	0.714	0.985	0.708	0.065	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.269	0.973	0.106	0.031	0.058	0.058
STDs:genital herpes	0.000	0.056	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.035	0.160	0.104	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	-0.015	-0.015
STDs:molluscum contagiosum	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.024	0.035	0.160	0.104	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	-0.015	-0.015
STDs:pelvic inflammatory disease	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.239	0.024	0.035	0.160	0.104	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	-0.015	-0.015
STDs:syphilis	0.053	0.000	0.000	0.000	0.000	0.000	0.000	0.176	0.000	0.000	0.045	0.000	0.000	0.212	0.000	0.455	0.692	0.445	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.067	0.086	0.082
STDs:vaginal condylomatosis	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.308	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.192	0.612	0.236	0.000	0.000	0.000	0.269	0.000	0.000	0.000	0.000	1.000	0.189	0.000	0.030	0.080	0.084
STDs:vulvo-perineal condylomatosis	0.000	0.100	0.052	0.000	0.000	0.000	0.000	0.000	0.050	0.000	0.000	0.042	0.000	0.042	0.058	0.704	0.972	0.697	0.067	0.000	0.000	0.973	0.000	0.000	0.000	0.000	0.189	1.000	0.110	0.035	0.061	0.061
Schiller	0.097	0.727	0.350	0.050	0.000	0.125	0.125	0.000	0.631	0.029	0.150	0.091	0.183	0.143	0.000	0.082	0.141	0.133	0.067	0.000	0.000	0.106	0.000	0.000	0.000	0.000	0.000	0.110	1.000	0.000	0.022	0.027
Smokes	0.041	0.000	0.000	0.037	0.000	0.000	0.000	0.073	0.000	0.000	0.066	0.023	0.000	0.109	0.267	0.098	0.111	0.090	0.000	0.000	0.003	0.031	0.000	0.000	0.000	0.067	0.030	0.035	0.000	1.000	0.996	0.996
Smokes (packs/year)	0.044	0.022	-0.020	-0.064	-0.030	-0.011	0.012	-0.130	0.009	-0.005	0.050	-0.043	-0.043	0.057	0.240	0.113	0.113	0.107	0.057	0.043	0.099	0.058	-0.015	-0.015	-0.015	0.086	0.080	0.061	0.022	0.996	1.000	0.997
Smokes (years)	0.054	0.021	-0.020	-0.064	-0.030	-0.007	0.016	-0.127	0.011	-0.005	0.050	-0.041	-0.040	0.059	0.236	0.112	0.112	0.105	0.054	0.056	0.095	0.058	-0.015	-0.015	-0.015	0.082	0.084	0.061	0.027	0.996	0.997	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	Age	Number of sexual partners	First sexual intercourse	Num of pregnancies	Smokes	Smokes (years)	Smokes (packs/year)	Hormonal Contraceptives	Hormonal Contraceptives (years)	IUD	IUD (years)	Dx:Cancer	Dx:HPV	Dx	Hinselmann	Schiller	Biopsy
0	18	4.0	15.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0	0	0	0	0	0
1	15	1.0	14.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0	0	0	0	0	0
3	52	5.0	16.0	4.0	1.0	37.0	37.0	1.0	3.0	0.0	0.0	1	1	0	0	0	0
4	46	3.0	21.0	4.0	0.0	0.0	0.0	1.0	15.0	0.0	0.0	0	0	0	0	0	0
5	42	3.0	23.0	2.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0	0	0	0	0	0
6	51	3.0	17.0	6.0	1.0	34.0	3.4	0.0	0.0	1.0	7.0	0	0	0	1	1	1
7	26	1.0	26.0	3.0	0.0	0.0	0.0	1.0	2.0	1.0	7.0	0	0	0	0	0	0
8	45	1.0	20.0	5.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1	1	1	0	0	0
10	44	3.0	26.0	4.0	0.0	0.0	0.0	1.0	2.0	0.0	0.0	0	0	0	0	0	0
11	27	1.0	17.0	3.0	0.0	0.0	0.0	1.0	8.0	0.0	0.0	0	0	0	0	0	0

	Age	Number of sexual partners	First sexual intercourse	Num of pregnancies	Smokes	Smokes (years)	Smokes (packs/year)	Hormonal Contraceptives	Hormonal Contraceptives (years)	STDs	STDs (number)	STDs:HPV	Dx:Cancer	Dx:HPV	Citology
848	31	3.0	18.0	1.0	0.0	0.0	0.00	1.0	0.50	0.0	0.0	0.0	0	0	0
849	32	3.0	18.0	1.0	1.0	11.0	0.16	1.0	6.00	1.0	1.0	1.0	1	1	0
850	19	1.0	14.0	0.0	0.0	0.0	0.00	0.0	0.00	0.0	0.0	0.0	0	0	0
851	23	2.0	15.0	2.0	0.0	0.0	0.00	0.0	0.00	0.0	0.0	0.0	0	0	0
852	43	3.0	17.0	3.0	0.0	0.0	0.00	1.0	5.00	0.0	0.0	0.0	0	0	0
853	34	3.0	18.0	0.0	0.0	0.0	0.00	0.0	0.00	0.0	0.0	0.0	0	0	0
854	32	2.0	19.0	1.0	0.0	0.0	0.00	1.0	8.00	0.0	0.0	0.0	0	0	0
855	25	2.0	17.0	0.0	0.0	0.0	0.00	1.0	0.08	0.0	0.0	0.0	0	0	1
856	33	2.0	24.0	2.0	0.0	0.0	0.00	1.0	0.08	0.0	0.0	0.0	0	0	0
857	29	2.0	20.0	1.0	0.0	0.0	0.00	1.0	0.50	0.0	0.0	0.0	0	0	0

Most frequently occurring

	Age	Number of sexual partners	First sexual intercourse	Num of pregnancies	Hormonal Contraceptives	Hormonal Contraceptives (years)	IUD (years)	# duplicates
0	15	1.0	14.0	1.0	0.0	0.00	0.0	4
7	17	2.0	15.0	1.0	0.0	0.00	0.0	3
1	15	1.0	15.0	1.0	0.0	NaN	NaN	2
2	15	2.0	14.0	1.0	0.0	0.00	0.0	2
3	16	1.0	14.0	1.0	0.0	0.00	0.0	2
4	16	1.0	15.0	1.0	0.0	0.00	0.0	2
5	17	1.0	16.0	1.0	0.0	NaN	NaN	2
6	17	1.0	17.0	1.0	0.0	0.00	0.0	2
8	17	2.0	15.0	1.0	1.0	0.33	0.0	2
9	18	1.0	14.0	2.0	0.0	0.00	0.0	2

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)